67results about How to "Suitable for online detection" patented technology

The invention discloses an abnormal vibration analysis-based GIS (gas insulated switchgear) mechanical fault diagnosis method and system. The GIS (gas insulated switchgear) mechanical fault diagnosis method includes the following steps that: vibration signals on a GIS are acquired; de-noising processing is performed on the acquired signals through using a threshold de-noising method; various kinds of feature information contained in the signals are extracted by using a narrowband noise aided multivariate empirical mode decomposition (EMD) method; the power feature of the signals is extracted by using a power density function, and the maximal amplitudes of the power spectra of all IMF of each channel are calculated so as to form power feature matrixes under measured conditions; and a power feature matrix under a normal condition and/or power feature matrixes under various kinds of fault conditions which are obtained through tests are adopted as judgment criteria of faults. Compared with a traditional method, the method and system of the invention have no influence on the normal operation of a whole power system, and can monitor the running state of the GIS safely and reliably, and are suitable for being applied to GIS substations of various voltage levels.

This invention provides a super acoustic online intelligent system for detecting structure defect, which contains super acoustic defect detector comprising synchronous circuit, emission circuit, probe with transducer and receiving circuit, high speed data sampling card connected with synchronous circuit by gate control circuit, and computer, wherein the the logic control circuit connected with gate control circuit and micro processor of computer, the micro processor having each other connected wavelet analysis module and artificial neural network.

The invention discloses a detecting and imaging method and a detecting and imaging device based on broadband magnetic wave reflection path parameter identification. According to the method, broadband magnetic wave is taken as a carrier, a path through which magnetic wave reflection passes is used as a reflection channel, and electromagnetic parameter characteristics of different materials is utilized, so that the internal distribution characteristics of a detected object can be identified through inversion and fusion on transfer functions and various variable forms and lossless detection and imaging can be realized. The device comprises a detection front end for detecting generation of signals, microwave transmission and reflection magnetic wave receiving, and a signal processing back end for controlling the setting of parameters, processing of receiving signals, inversion and fusion of a magnetic wave reflection path and imaging display, wherein the detection front end and the signal processing back end are connected in a wire/wireless manner, and by using software processing, the detection accuracy is improved, and the miniaturization of the equipment is conveniently realized. According to the embodiment of the invention, coupling agents, strong magnetic fields, radioactive sources and radio frequency radiation are not needed; the method and the device have the advantages of non-contact form, high accuracy, low cost and the like, and have wide application prospect in the fields of underground pipeline detection, road and bridge detection, industry and agriculture, medicines and the like.

The invention relates to a vision-based steel ball surface defect detection apparatus and a vision-based steel ball surface defect detection method. According to the apparatus, a light source is arranged on a work bench; a left camera and a right camera are symmetrically arranged on the two sides of the light source; a vibration material supplying tray and a material conveying channel are arranged behind the light source; the material conveying channel penetrates a light source bowl cover and extends to the front side of the light source; a sorting mechanism and collecting boxes positioned below the sorting mechanism are arranged on the front side of the light source; a discharging terminal of the material conveying channel is inserted into a feeding terminal of the sorting mechanism; the left camera and the right camera are respectively connected to a PCI card, and the PCI card is respectively connected to a computer and a pneumatic unit; and the output end of the pneumatic unit is connected to the sorting mechanism. The method comprises the steps that: a template image is collected; the steel balls are driven to move along the material conveying channel; the left camera and the right camera respectively acquire steel ball images 3 times, and the images are compared with the template image; according to the comparison results, the PCI card controls a solenoid valve which controls the sorting mechanism, such that the detected steel ball can fall into a corresponding collecting box. According to the invention, the detection process is fully automated, and the defect detection is accurate and highly efficient.

The invention discloses a fabric defect detection method based on sparse representation coefficient optimization. The detection method comprises self-adaptive dictionary database study, sparse coefficient matrix optimization and image reconstruction as well as generation and segmentation of a vision saliency map and specifically comprises steps as follows: an image is partitioned into blocks, self-adaptive dictionary database study is performed, and a dictionary database is obtained; a sparse representation coefficient matrix is solved with an L2-norm minimization method, and abnormal coefficient elements in the obtained matrix are optimized; a fabric image is reconstructed with adoption of the obtained dictionary database and the optimized sparse representation coefficient matrix, the fabric image and a to-be-detected image are subjected to residual error processing, and a residual error saliency map is obtained; the saliency map is segmented with a maximum entropy threshold segmentation method, and a fabric defect detection result is obtained. Randomness of fabric textural features and diversity of defect varieties are overall considered, the to-be-detected fabric image is taken as a detection reference for a dictionary database studying sample and a defect area, the method has higher detection accuracy, no defect information is required to be extracted, and the self-adaptive capability is high; the computation speed is higher, and the method is suitable for online detection.

The invention relates to an electrolyte measurement method and an electrolyte measurement device for a vanadium redox flow battery. The electrolyte measurement method comprises the following steps of: measuring the absorption or transmission spectra of a plurality of groups of electrolyte samples with known configuration parameters under the irradiation of a set light waveband, recording the absorption or transmission spectra of the groups of electrolyte samples, and establishing a standard spectral database; in the light waveband, measuring the absorption or transmission spectrum of an electrolyte to be measured; finding out a spectrum closest to the measured spectrum from the standard spectral database; and determining configuration parameters corresponding to the closest spectrum to be measured parameters of the electrolyte to be measured. With the adoption of the electrolyte measurement method and the electrolyte measurement device for the vanadium redox flow battery, the concentrations of vanadium ions of various valences in the electrolyte of the vanadium battery can be effectively measured in an on-line manner, the measurement manner is simple, and the speed is fast.

The invention relates to a fault on-line detection method of a steel wire rope conveyer belt based on texture regularity analysis, belonging to the field of fault detection. The problems that in the current fault detection of the steel wire rope conveyer belt based on X-ray, the real-time performance is worse, the accuracy rate is not high, the fault detection is mainly done basing on manual analysis, and the like are solved. According to the characteristics that the gray scale of an X-ray image of the steel wire rope conveyer belt is in regular variation and the texture of the X-ray image of the steel wire rope conveyer belt is in regular strike-shaped distribution, after the input image is subjected to normalization and standardization processes, parameter values of LRB (Light Regular Band) and DRB (Dark Regular Band) of each pixel can be progressively scanned and calculated, the parameter values of the LRB and the DRB of each pixel can be subtracted from the parameter values of the LRB and the DRB of the whole image, then the difference value can be compared with a threshold value obtained in a training stage, thus whether the fault exists or not can be judged, and a fault area can be detected from the fault image. According to the fault on-line detection method of the steel wire rope conveyer belt based on the texture regularity analysis, disclosed by the invention, the fault detection of the steel wire rope conveyer belt can be online, automatically and accurately realized.

The invention discloses a method for detecting charging state of a vanadium redox battery, which includes the following steps of firstly, detecting electrolyte of the vanadium redox battery by a spectral type surface plasma resonance sensor to obtain surface plasma resonance spectral information of the electrolyte and computing surface plasma resonance wavelength and/or refractive index of the electrolyte; and secondly, inquiring or computing charging state of the vanadium redox battery by a prebuilt database of relation between the surface plasma resonance wavelength and/or refractive index of the electrolyte with various parameters and the charging state. The method can detect the charging state of the vanadium redox battery online, can acquire imbalance degree in real time and can adjust the system when the vanadium redox battery is not at the perfect state.

The invention relates to a strip-shaped article surface defect on-line visual attention detection method. The invention fully utilizes the image pre-processing technology and the visual attention model. The method comprise steps of utilizing a background estimation image processing technology to reduce or eliminate the affect on the stick cracking defect caused by characters, trademarks, etc, highlighting surface defect information, and utilizing a visual attention model to obtain a defect characteristic remarkable diagram. The module which is based on extracting image low level visual characteristics analyzes characteristics of object image intensity, rims and directions, establishes a pyramid characteristic model, composites a characteristic image of the three characteristics through a center rotating around an operator, uses discrimination to fuse the operator, fuses the three characteristics to obtain an remarkable diagram, and highlights the cracking information to achieve the goal of extracting defect sticks. The invention can perform online detection on the surface defects of the strip-shaped article and has advantages of high speed, good interference resistance, good instantaneity and high detection accuracy.

The invention creatively discloses a giant magnetostriction transducer with the function of ultrasonic guided wave excitation and receiving at the same end, which includes an end cover, a disc spring, a permanent magnet, a damping element, a magnetostriction element, a base, a solenoid frame, a self-lubricating bearing and a solenoid, wherein the base serves as a reference; the magnetostriction element, the damping element and the permanent magnet are fixed in a cylindrical groove of the base respectively; and the front end of the base and the end cover form a pretension mechanism for pretension through the disc spring. Through adopting the structure, the giant magnetostriction transducer with the function of ultrasonic guided wave excitation and receiving at the same end has long detection distance, is simple to operate, is highly sensitive, and is suitable for the on-line detection of rotary machinery, does not influence the operation of machinery, and is an ultrasonic guided wave transducer based on the magnetostriction effect.

The invention relates to a composite electrode for measuring sulfur ions in drilling fluid, which is characterized in that the composite electrode is composed of a solid-state reference electrode, a signal processing circuit, a S<2-> measurement electrode, a PH<-> measurement electrode and a temperature probe, wherein, the signal processing circuit is respectively connected with the solid-state reference circuit, the S<2-> measurement electrode, the PH<-> measurement electrode and the temperature probe. The invention has the advantages that the solid-state electrode is more suitable for drilling liquid, the S<2-> measurement electrode and the PH<-> measurement electrode share the solid-state reference electrode, the S<2-> measurement electrode, the PH<-> measurement electrode and the solid-state reference electrode can be replaced independently with improved performance-price ratio. By combining three instruments into one instrument, the invention has compact structure and is especially suitable for online detection of sulfur ions of drilling liquid.

The invention belongs to the technical field of display panel detection, and discloses a method, a device and a system for remotely measuring a Flicker scintillation value of a liquid crystal module.The method includes: carrying out continuous image capturing on a display image of the liquid crystal module under a certain common electrode voltage; obtaining the average brightness of the image frames, obtaining the change relation of the brightness with the number of collected frames or time, i.e., the time domain signal of the brightness, obtaining the spectrogram of the brightness through the time domain signal, and obtaining the Flicker scintillation value of the liquid crystal module to be detected under the common electrode voltage through the amplitude of the specific frequency wave.The device comprises equipment for continuously capturing images of a liquid crystal module under a certain common electrode voltage, A calculation processing module used for calculating the averagebrightness to obtain a time domain signal of the brightness, A Fourier transform module used for carrying out fast Fourier transform on the time domain signal of the brightness, and A Flicker scintillation value calculation module used for calculating a Flicker scintillation value. according to the method and the system, the Flicker scintillation value of the display screen can be remotely measured, and the method and the system are used for monitoring the flicker degree of the liquid crystal display screen in real time in a panel production line.

The invention discloses a speed governor testing device which comprises a test table, a rope winding mechanism, a stretching mechanism and a shearing mechanism, wherein the shearing mechanism, the rope winding mechanism and the stretching mechanism are respectively connected with the test table; the rope winding mechanism is used for storing and placing the test rope; the stretching mechanism is used for stretching the test rope when testing to detect tension of the speed governor; and the shearing mechanism is used for shearing the test rope after the test. The speed governor testing device can automatically load and measure the speed governor, is simple in the structure, easy to operate, high in efficiency, and suitable for online detection of the speed governor batch production.

The invention discloses a concave arc radius detection and an arc degree determination apparatus and method, and the apparatus comprises a detection bench; a linear guide rail is arranged on the surface of the detection bench; a slide block is arranged on the linear guide rail; a measuring probe is arranged on the slide block; and 4 range finding sensors are arranged on the measuring probe. The 4 range finding sensors are vertical to each other and are arranged at the same plane; the slide block is connected with a turntable of a motor through a ball screw rod; an angle sensor is arranged on a rotating shaft of the motor; the range finding sensors, the motor and the angle sensor are connected to a data processor; and the data processor is connected to a controller. By introducing the step of geometric calculating, the method of concave arc radius detection and arc degree determining in prior art is substantially simplified; the over-complex device is simplified; the cost is reduced; the product surface won't be damaged thanks to non-contact measuring; advantages like wide application scope, easy operation, high security, high detection precision and high efficiency are provided; and the method is very suitable for on-line detection.

The invention discloses a method for detecting elements in an alloy. The detecting method comprises the following steps of detecting the content of impurity elements by determining the light intensity ratio through a spectrograph; selecting a standard sample the content of which is closest to the to-be-controlled content numerical value of to-be-determined elements in the alloy; selecting, determining and analyzing a base body, inputting the content of the standard sample into the spectrograph, and setting stimulating parameters; acquiring calculating data, and stimulating the standard sample so as to obtain the light intensity ratio of the standard sample; stimulating a sample sent for detection so as to obtain the light intensity ratio of the sample sent for detection; and comparing the light intensity ratios of the standard sample and the sample sent for detection so as to obtain the detection result. The method provided by the invention is used for detecting the content of the elements in the alloy rapidly and qualitatively, and is especially suitable for on-line detection in a production field.

The invention discloses a method for detecting lactoperoxidase in raw milk using test paper. The method includes the following steps: preparing a reaction reagent; conducting test paper reaction; establishing detection standards; detecting lactoperoxidase in a milk sample. The method provided by the invention has the advantages that the detection speed is high, and a quantitative detection of lactoperoxidase can be finished in a few seconds at the soonest; the content of lactoperoxidase in raw milk can be quantitatively detected in 3 minutes; the method is suitable for the online detection of lactoperoxidase; the detection cost is low; the detection result is accurate, and the lowest detected concentration is 1-2 mg/L; the requirements for the environment are low; the detection operations are simple and convenient.

A method for measuring the number of somatic cells in raw milk relates to a method for measuring the number of somatic cells in milk. The invention solves the problems of long time consuming, tedious operation and carrying out operation by professional technical personnel, or high lost, or inaccuracy existing in the existing method for measuring the number of somatic cells in raw milk. The method is carried out by following steps: firstly, pretreatment; secondly, addition of reactive reagent; thirdly, measurement of change in color; and finally the number of somatic cells in raw milk is obtained. The method has the advantages of low cost, time saving, simple and convenient operation and accurate measurement result.

The invention provides a particulate matter concentration measuring system in a low-concentration particulate matter on-line tester, belongs to the technical field of particulate matter detection, and solves the technical problems to provide a particulate matter concentration measuring system with high measuring accuracy and small measuring error in the low-concentration particulate matter on-line tester. The adopted technical scheme is as follows: the particulate matter concentration measuring system in the low-concentration particulate matter on-line tester comprises a power circuit board, an analog circuit board and a digital circuit board, wherein the power circuit board is used for supplying power to the analog circuit board and the digital circuit board; the analog circuit board comprises a laser, a laser light-emitting circuit and a signal conditioning circuit, the digital circuit board comprises a master control circuit, a voltage-current conversion circuit and a communication circuit, and the laser light-emitting circuit, the signal conditioning circuit, the voltage-current conversion circuit and the communication circuit are respectively connected with the master control circuit; the particulate matter concentration measuring system in the low-concentration particulate matter on-line tester is suitable for the field of environmental monitoring.

The invention discloses a tool for detecting the size from an internal annular groove of an axle hole of a vehicle half axle gear to the outer end surface. An axle die is paired with an axle wedge to form an axle whose cross section is circular, and the axle cooperates with the work-piece axle hole. The outer circular wall of the axle die is provided with a segment of annular ridge which cooperates with the internal annular groove of the work-piece axle hole, and a bottom plane of the axle die is an inclined plane whose axial inclination angle alpha equals 3-7 degree. The axle wedge is a piece whose cross section is semicircular, a bottom plane of the axle wedge is also an inclined plane whose axial inclination angle alpha equals 3-7 degree, the inclination angle alpha of the inclined plane of the axle wedge is opposite to that of the inclined plane of the axle die. The end, in the work-piece axle hole, of the axle wedge is provided with a pull bar which extends outwardly. The annular groove to be measured in the work-piece axle hole is converted into an outer measuring structure via the axle die, such structure provides convenience for accurate measurement by general measuring tools, and the detection efficiency is high. The tool of the structure has no special requirements for detection conditions, detection is carried out directly, and the tool is especially suitable for online detection.